{"id":"W6901681187","doi":"10.6068/dp14ba7cefb5975","title":"Trend 2008 - 2011. Statistics Canada. CANSIM: Business, Consumer and Property Services - Professional, Scientific and Technical Services | Country: Canada | Table: Accounting services, sales by type of client based on the North American Industry Classification System (NAICS) | Variable: Sales outside Canada (exports), Accounting, tax preparation, bookkeeping and payroll services | Units: %, 2008-2011. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 075-001-013.","year":2015,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payroll; Economic statistics; National accounts; Census; Official statistics; Goods and services; Year-ending; Service (business); Executive summary; Summary statistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001997535,0.002600827,0.002843134,0.01008414,0.00338675,0.005329207,0.005536532,0.001611838,0.08846267],"category_scores_gemma":[0.02047901,0.00179103,0.001962594,0.04718,0.000689577,0.002890029,0.002419726,0.003261908,0.06669414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05012128,"about_ca_system_score_gemma":0.1337501,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9918108,"about_ca_topic_score_gemma":0.9899287,"domain_scores_codex":[0.99534,0.000280312,0.0005078104,0.0006438764,0.002209846,0.001018138],"domain_scores_gemma":[0.9610316,0.001417741,0.001163191,0.001215757,0.03358432,0.001587529],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001508651,0.000004022801,0.0005961323,0.0001624508,0.00001375858,0.000005086049,0.00001326073,0.00007837394,0.000007061011,0.0002842668,0.9977724,0.001048138],"study_design_scores_gemma":[0.0001172458,0.000008019469,0.01401295,0.0007065241,0.00005488654,0.00002317071,0.0003401961,0.0003764053,0.0001508814,0.0006177396,0.9835209,0.00007098715],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003773652,0.00004449156,0.00001942888,0.0001154814,0.00002598122,0.000009755517,0.9989574,0.00005386334,0.0007357971],"genre_scores_gemma":[0.000495968,0.0002133799,0.0002622831,0.0001278137,0.00001692424,0.00007902636,0.9957862,0.00009056097,0.002927688],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08846267,"threshold_uncertainty_score":0.363657,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02405391029060205,"score_gpt":0.2483422804190302,"score_spread":0.2242883701284281,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}